Maintenance Decision Modeling and Optimization Based on Markov Process for Combined Co-Phase Power Supply Equipment

To ensure reliability and economic efficiency in the engineering application of co-phase power supply systems, maintenance decision modeling and optimization for combined co-phase power supply units used in electrified railways was studied. Firstly, according to construction plan and operational mode of units, the reliability of new combined co-phase power supply unites were analyzed. Secondly, maintenance decision modeling based on Markov process and iterative algorithm based on optimal maintenance strategy were presented by analyzing the maintainability and degradation of units. Finally, let the lowest maintenance costs as the target and take a overall consideration on the factors such as state transition probability of system and maintenance time, the best condition-based maintenance time was calculated using this model. The calculation examples show that if system degradation states is categorized into 6 classes from good to bad, according to the maintenance time and cost of each state, maintenance in the fifth degradation status has the highest economic efficiency, and the cost is only half the regular replacement cost of failed components.